Engineering Jobs in Hackensack Nj Flexible

NTG Staffing is seeking a Manufacturing Engineer for a company in Northvale, NJ. This is a direct hire opportunity. The company is seeking a candidate with specific experience in injection molding or metal stamping. Must be local to be considered.

Overview

• Responsible for designing, implementing, and optimizing manufacturing processes to improve efficiency, reduce costs, and maintain product quality.
• Uses production data analysis, process improvements, and technology implementation to support operational excellence.
• Collaborates cross-functionally with engineering, production, and quality teams to ensure successful product launches and ongoing manufacturing performance.

Key Responsibilities

• Improve manufacturing efficiency by analyzing workflows, equipment layout, and facility space utilization.
• Monitor and control manufacturing costs, including labor, materials, and production expenses.
• Identify process improvement opportunities and implement solutions to reduce waste and increase productivity.
• Develop and enforce quality control procedures to ensure products meet established standards.
• Lead pre-launch activities such as prototype, pilot, and validation builds to ensure smooth transition to full production.
• Partner with engineering, design, and production teams to achieve operational and manufacturing goals.

Core Qualifications

• Bachelor’s degree in Engineering or related technical field.
• Minimum of 3 years of Manufacturing Engineer experience.
• Automotive industry experience preferred.
• Strong analytical skills with ability to interpret production data and drive improvements.
• Proven problem-solving skills related to manufacturing processes.
• Strong organizational skills, attention to detail, and ability to meet deadlines.

Electrical Contractor located in Northern Bergen County, NJ seeking a full-time Estimator/Project Manager for commercial projects varying in size throughout the NYC and Tri-State Areas.

ROLE OVERVIEW

• Interpret job bid instructions, technical specifications, and architectural construction prints that are necessary in creating accurate electrical pricing for projects.
• Maintain and log incoming/outgoing bids and meet the deadlines for providing pricing to customers.
• Process and distribute critical/technical information and procured material to the labor force actively building projects.
• Preparation and maintenance of RFI/CO logs over the course of an active project.
• Full-time, in person role
• Work hours: 7:00am – 4:30pm

REQUIREMENTS AND QUALIFICATIONS:

• Four-year degree minimum.
• Degree in engineering/construction is a plus.
• Prior experience in the construction industry is a plus.
• Interest in the Construction and Project Management Field.
• Familiarity with Accubid, AutoCAD, and Bluebeam software is a plus.
• Strong mathematical, mechanical, and technical aptitude.
• An interest and passion for problem solving as it relates to real life construction projects.
• Organizational skills, time management, and willingness to learn are required.
• Must have good communication skills to effectively engage in project meetings with other subcontractors, general contractors, and design professionals.
• Should have strong confidence in speaking either on the phone or in person on a regular basis to vendors, customers, and labor force.
• Must be self-motivated and be able to follow through with a project/estimate from beginning to end with intensity, passion, and pride for their own work.
• Be dependable, self-motivated, and able to function independently with little supervision.
• Enjoys the challenges of an intense, creative, and fast paced industry with opportunity for self-made growth.
• Fluent in English.
• Not a fit for those with a desire to be involved with engineering/architecture design.

BENEFITS:

• Medical - Company pays 75%
• Dental – Company pays 50%
• Life – Company pays 50%
• Holidays
• Vacation
• 401k
• Profit sharing

With more than 100 years of experience, Sika is a worldwide innovation and sustainability leader in the development and production of systems and products for commercial and residential construction, as well as the transportation, marine, automotive, and renewable energy manufacturing industries.

Sika has subsidiaries in 102 countries around the world and, in over 400 factories, produces innovative technologies for customers worldwide. In doing so, it plays a crucial role in the transformation of the construction and transportation sector toward greater environmental compatibility. With more than 34,000 employees, the company generated sales of CHF 11.76 billion in 2024.

• Visit cement plants, building strong relationship with the cement market.
• Regular communication with Company’s Director of Cement Additives and Company’s Technical Service.
• Follow closely on-site field trials.
• Jointly work with commercial/technical team to understand the customer requirement, and making adjustment of products to support existing business and capture new market opportunities to grow the business.
• Jointly work with commercial team to gather market intelligence to better understand industry trend and competitors. Working with Product Management to develop new product to grow and improve profitability of the business.
• Develop and regularly update competitors’ product database to support commercial growth.
• Develop, implement, and manage customer complaint process to make sure all complaints are well taken care, timely response to customers, and high degree of customer satisfaction is achieved.
• Provide value added service to customer – seminar, technical presentation, on site troubleshooting.
• Serve as the technical expert to SIKA’s customers by troubleshooting technical issues at the Cement Plant, demonstrating Sika’s product capabilities, recommending solutions and serving as Sika’s representative in technical proposals to the customers. Provide first level of field troubleshooting to customers.
• Promote safety working environment and commit to achieve zero accident target.
• Report to Direct Manager on activity, market, competition, key projects, trials.
  
  

• Diploma / University degree in engineering (preferably chemical engineer)
• 3-5 years hands-on field experience in Cement Industry
• Strong relevant industry and segment knowledge & network
• Strong technical aptitude and willingness to learn and apply knowledge
• A self-starter, excellent time and self-management, require minimum supervision
• Ability to work independently and willing to travel on a frequent basis
• Excellent customer relationship management skill
• Ability to influence and lead multi function to achieve goals
• Good communication and team player
  
  

· 401k with Generous Company Match

· Bonuses

· Medical, Dental, and Vision Benefits

· Paid Parental Leave

· Life Insurance

· Disability Insurance

· Paid time off, paid holidays

· Floating holidays + Paid Volunteer Time

· Wellness/Fitness Reimbursements

· Education Assistance

· Professional Development Opportunities

· Employee Referral Program & More!

Sika fosters a culture of entrepreneurship, empowering each individual to make decisions, learn from experiences, and shape their own career path. The safety and well-being of employees are top priorities at Sika, with a strong commitment to open communication and maintaining a safe workplace. In addition, Sika actively contributes to the community and promotes sustainability by giving back, minimizing environmental impact, and embracing social responsibility.

Sika Corporation is committed to a work environment that supports, inspires, and respects all individuals that apply. As an equal opportunity employer Sika will consider all qualified applicants without discrimination on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, disability, national or ethnic origin, or other protected characteristics.

We offer competitive salaries, aligned with local market benchmarks and the specific scope and responsibilities of each role. Compensation is determined based skills relevant to the position, education and/or training. We are committed to fair and equitable pay practices in accordance with applicable laws and regulations.

Our firm is dedicated to building high-quality, purpose-driven housing that enhances neighborhoods and supports the residents who call them home. With a focus on integrity, impact, and community growth, our firm combines thoughtful development, expert construction, and dedicated management to create lasting value. Headquartered in New York City, we contribute to the growth and improvement of communities both locally and beyond.

We are seeking a full-time Construction Estimator to join our team in the New York City Metropolitan Area. This on-site role involves preparing detailed quantity take-offs, managing project budgets, and collaborating closely with project teams. The Construction Estimator is responsible for analyzing project requirements, identifying cost-saving opportunities, and ensuring accurate pricing to support successful project execution.

Qualifications

• Strong expertise in Construction Estimating and Quantity Take-offs
• Must have experience with HBD projects
• Proficiency in Budgeting and Cost Management
• Exceptional Communication skills to coordinate with teams and stakeholders
• Analytical and organizational skills to manage project requirements efficiently
• Proficiency in construction estimating software and tools is a plus
• Previous experience with housing development projects or the construction industry is preferred
• Bachelor's degree in Construction Management, Engineering, or a related field is an advantage

About Us:

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI. Project

Overview:

We’re advancing the frontier of AI by training large language models to think like skilled legal professionals. Our goal is to build high-quality evaluation and training datasets that capture the real reasoning challenges lawyers and legal scholars face.

You’ll work on ambitious, high-impact projects within the legal domain: from evaluating how models handle complex hypothetical cases to refining their ability to apply U.S. law with precision and nuance. This is an opportunity to shape how AI systems learn to reason like attorneys — not just recall statutes — and directly influence the future of AI in the legal industry.

Role Overview — What Does a Typical Day Look Like?

You’ll work alongside top AI researchers and legal experts shaping foundational LLMs at leading AI labs to:

• Review and evaluate model outputs on complex U.S. legal hypotheticals across multiple domains of law.
• Apply a structured legal rubric to assess accuracy, relevance, logical reasoning, and application of law.
• Identify gaps, edge cases, and reasoning blind spots — helping define new benchmarks for legal understanding in AI.
• Provide clear, consistent annotations and detailed feedback that directly improve model fine-tuning and legal reasoning capabilities.

Required Skills & Experience

• Juris Doctor (J.D.) from an accredited U.S. law school, with active or inactive Bar admission.
• 3+ years of experience practicing law or teaching at a U.S.-based law school.
• Proven ability to apply U.S. legal reasoning to complex, nuanced cases (hypothetical or real-world).
• Strong foundational knowledge across multiple areas of U.S. law, including contracts, torts, criminal law, constitutional law, corporate law, and civil procedure.
• Exceptional attention to detail, precision, and consistency in evaluating and annotating legal work.
• Excellent written communication skills for delivering clear, high-quality feedback.
• High ethical standards and the ability to handle sensitive legal information with confidentiality.
• Interest in AI and language models (LLMs) is a plus.

Engagement Details

• Commitment: Flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
• Type: Contractor (no medical/paid leave).
• Duration: 1 month with potential extensions based on performance and fit.

We put the unity in "opportunity."

Opportunity Snapshot:

• Compensation: $50/hour
• Location: Spring, TX
• Duration: 12 months+
• Work Schedule: 14/14 rotation - 12-hour shift - alternating days/nights
• Benefits: Comprehensive insurance, 401(k) program, PTO & Holidays and Company vehicle

Qualifications:

• Minimum 2-5 years of experience in gas compression, oil & gas operations, or industrial maintenance
• Familiarity with rotating equipment, instrumentation, and process controls
• Technical or vocational training preferred
• Certifications such as OSHA 10/30, H2S Awareness, First Aid/CPR, or DOT Operator Qualification (OQ) are a plus
• Strong mechanical aptitude and troubleshooting skills
• Ability to read P&IDs, schematics, and technical manuals
• Knowledge of HMI systems and control room operations is a plus
• Good verbal and written communication skills
• Rotating shift work, weekends, and holidays as needed
• Ability to work in varying weather conditions and remote locations
• Frequent lifting (up to 50 lbs.), climbing, bending, and standing for extended periods
• Ability to wear personal protective equipment (PPE) as require
• High School diploma or GED required

Responsibilities:

• Compressor Operator for Vapor Recovery Unit to oversee the safe and efficient operation of natural gas compression equipment
• Operate and monitor natural gas compressors, dehydration units, and associated equipment
• Adjust operating parameters to maintain optimal pressure, flow, and efficiency
• Conduct routine inspections and record equipment readings to detect irregularities
• Perform minor maintenance and assist with repairs on compressors, engines, and auxiliary systems
• Identify mechanical or process issues and escalate as necessary to maintenance personnel
• Assist in troubleshooting electrical, pneumatic, and hydraulic control systems
• Follow all company safety policies
• Maintain accurate logs of operating data, maintenance activities, and safety checks
• Report any equipment malfunctions, safety concerns, or operational deviations
• Utilize digital tools and systems for data entry and reporting

The Bergaila Way:

The Bergaila Companies is a nationally recognized leader in providing staffing services to all sectors of the energy industry. We continually focus on partnering with talented professionals, engineering the perfect fit between our clients and employees. Choosing a career path with Bergaila grants you immediate access to nationally recognized organizations we partner with. Bergaila consistently attracts and retains its Employees with our dedicated internal service team, top tier benefits programs for contractors and their families, and commitment to place you in the desired career of your choice.

Client Overview:

Our Client is a global international energy exploration and production company and one of the largest oil producers in the United States. Founded in 1920, our client’s technical expertise and proven ability to deliver lasting results are the hallmark of their international success. While manufacturing the building blocks for life-enhancing products, our client utilizes leading edge technologies that grow their business and simultaneously help to advance a lower-carbon world.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Who We Are

Johns Manville is a leading manufacturer and marketer of premium-quality insulation and commercial roofing, along with glass fibers and nonwovens for commercial, industrial and residential applications. Our products are used in a wide variety of industries including building products, aerospace, automotive and transportation, filtration, commercial interiors, waterproofing and wind energy.

A proud member of the Berkshire Hathaway family of companies, we serve customers in more than 80 countries around the globe. We are committed to delivering positive and powerful experiences, because we are successful only when our employees and customers thrive. We are passionate, we care about people, we perform at a superior level, and we protect others and our environments.

Pay Range

This is the base salary pay range that an applicant can expect to make upon hire. Pay within this range will vary based upon relevant experience, skills, and education among other factors. In addition, this position is eligible for an incentive bonus.

The Corporate Environmental Manager will be responsible for ensuring JM manufacturing facilities are in compliance with applicable regulations, identifying and implementing programs that improve factory environmental performance, communicating environmental issues and progress at all levels in the company, and mentoring and developing factory environmental staff. This position is accountable, along with plant managers, for eliminating or reducing factory environmental violations, tracking factory performance metrics, renewing and amending environmental operating permits, leading the development of air pollution construction permits and implementing new programs to address emerging regulations.

Your Day to Day:

• Develop and implement environmental compliance systems and programs for JM's factory operations and employees
• Represent the company with state and federal agencies for air permitting and other issues as required
• Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
• Review all major capital projects and provide environmental impact assessments
• Actively audit factory environmental performance for JM locations and ensure that audit findings are addressed and corrected where appropriate
• Provide regulatory guidance for all environmental media to manufacturing facilities and ensure that compliance systems are adequate to track and document compliance status
• Represent the company with state and federal agencies for air permitting and other issues as required
• Effectively communicate the environmental goals, objectives, performance expectations, and metrics throughout the organization
• Mentor, train, and develop JM factory environmental employees
• Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
• May be required to perform other related duties as assigned

What You Bring to the Team:

• Bachelor's degree in environmental management, engineering or a related field or equivalent experience with a minimum of 8 years in implementing and managing environmental programs and initiatives
• Master's degree with a minimum of 6 years of experience preferred
• Significant knowledge of federal, state and local environmental laws and regulations relating to air, water, solid waste and hazardous waste management
• The ability to develop and implement environmental compliance systems and programs for JM's factory operations and employees
• Solid ability to develop, implement and lead group environmental management programs for the JM's businesses to ensure full compliance with regulations and company requirements
• Demonstrated ability to mentor, train, and develop JM factory environmental employees
• Develop and implement management systems to ensure seamless leadership for JM's business environmental activities
• Solid knowledge of emission inventory development
• Solid leadership skills
• Excellent interpersonal, verbal and written communication skills
• Ability to work both independently and in a diverse team environment
• Heavy travel required (Minimum 30%)
• May be required to lift, carry, push or pull up to and including 25 pounds
• Work environment is typical of an office setting

#LI-KL1 #LI-ONSITE #P #D

Please Keep in Mind

If you do not meet 100% of these requirements, we at JM still want to hear from you. So, if you are interested in the role, we encourage you to apply so we can learn how your skills and talents can contribute to our team.

Benefits

Johns Manville (JM) offers a wide range of benefits to employees. Some are subsidized by the company and others are fully employee-paid. Health benefits include a choice of comprehensive medical plans, a dental plan, vision plan, wellness program and critical illness insurance. JM sponsors a 401(k) plan which includes a sizeable company match. JM offers paid vacation and also provides paid sick and parental leave for eligible employees.

Additionally, Johns Manville provides basic life Insurance, short-term and long-term disability coverage, an employee assistance program, and business travel accident coverage. Supplemental life insurance and accidental death and dismemberment insurance are available as well. The company also offers a variety of tax saving accounts; health spending account, traditional flexible spending account, and a dependent care spending account. JM also offers a tuition reimbursement program for undergraduate and certain graduate programs.

Johns Manville supports employee growth with vast educational opportunities and a company-wide mentoring program. This program pairs employees and leaders to grow skills, build stronger internal networks and strengthen the company’s succession planning process. Johns Manville also offers soft and hard skills training facilitated by internal and external presenters. Our talent management team prioritizes the holistic growth of our workforce.

Diversity & Inclusion

Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.

Incumbent must be physically able to perform essential job functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions.

We are proud to be an Equal Opportunity/Affirmative Action employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

Johns Manville is a proud member of the Berkshire Hathaway family of companies, serving customers in more than 80 countries, supplying innovative products to the construction, aerospace, automotive, filtration and energy industries. With a more than 160-year legacy, we understand that our story continues to grow only with the right people saying, thinking and doing the right things. Make your story our story.

Johns Manville believes diversity and inclusion in our workplace is critical for the long-term success of our company. We are committed to retaining, developing and attracting a diverse workforce that fosters an inclusive work environment in which all employees are treated with dignity and respect. This is the right thing to do for our employees, our company and our communities.

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